The training split of DAVIS [1]} was used as the training set. DAVIS is a real-world video dataset covering several difficult scenarios such as fast motion, motion blur, and occlusion. It consists of 50 video clips and approximately 3,000 frames. No preprocessing was needed for the FDB loss, while for the OFB loss, we estimated the optical flow for the entire dataset prior to training. DeepFlow [2]} was adopted for estimating the optic flow, requiring the computational time of approximately 3 days.
